Smartbird (BIRD) Return on Sales [ROS] (2020 - 2026)
Smartbird (BIRD) recorded Return on Sales [ROS] of -387.78% in Q2 2026, down 330.17 percentage points from -57.61% a year earlier and down 289.17 percentage points from the prior quarter.
Smartbird (BIRD) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
On a TTM basis, Smartbird's Return on Sales [ROS] came in at -69.33% as of Jun 30, 2026, down 11.72 percentage points year-over-year; for FY2025, it was -52.45%, down 1.04 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -39.12 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -51.41% in FY2024 (+8.81 pp), -60.22% in FY2023 (-26.54 pp), -33.68% in FY2022 (-21.83 pp) and -11.85% in FY2021 (+1.48 pp).
- The Q2 2026 figure is the lowest quarterly Return on Sales [ROS] in data going back to Q3 2020.
- On a year-over-year basis, Return on Sales [ROS] rose in four of the last eight quarters, with an average year-over-year change of -42.83 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 33.92 percentage points in Q4 2024, against a drop of 330.17 percentage points in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at -98.62% (Q1 2026), -43.46% (Q4 2025) and -60.28% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 7.92% |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 23.57% |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 17.47% |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 18.78% |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 7.82% |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 11.12% |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 28.22% |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 24.22% |
| 10 | Smartbird | 39.80 Mn | -62.37 Mn | - | -387.78% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -387.78% |
| Mar 31, 2026 | -98.62% |
| Dec 31, 2025 | -43.46% |
| Sep 30, 2025 | -60.28% |
| Jun 30, 2025 | -57.61% |
| Mar 31, 2025 | -71.09% |
| Dec 31, 2024 | -46.14% |
| Sep 30, 2024 | -50.66% |
| Jun 30, 2024 | -39.14% |
| Mar 31, 2024 | -75.80% |
| Dec 31, 2023 | -80.06% |
| Sep 30, 2023 | -52.52% |
| Jun 30, 2023 | -42.03% |
| Mar 31, 2023 | -65.64% |
| Dec 31, 2022 | -30.25% |
| Sep 30, 2022 | -35.12% |
| Jun 30, 2022 | -37.52% |
| Mar 31, 2022 | -31.83% |
| Dec 31, 2021 | -6.59% |
| Sep 30, 2021 | -18.94% |
Smartbird Return on Sales [ROS] API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=BIRD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "BIRD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=BIRD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();